Farooq Azam

Title: Innovations of Farooq Azam in Machine Learning

Introduction

Farooq Azam is a notable inventor based in Scottsdale, AZ, who has made significant contributions to the field of machine learning. With a total of three patents to his name, he has developed innovative systems and methods that enhance the efficiency of learning algorithms.

Latest Patents

One of Farooq Azam's latest patents is titled "Parallel development and deployment for machine learning models." This patent presents example systems and methods for developing a learning model. In one example, a sample data set is accessed to train a first learning algorithm. A number of states for each input of the sample data set is determined. A subset of the inputs is selected, and the sample data set is partitioned into a number of partitions equal to a combined number of states of the selected inputs. A second learning algorithm is created for each of the partitions, wherein each second learning algorithm receives the unselected inputs. Each of the second learning algorithms is assigned to a processor and trained using the samples of the partition corresponding to that algorithm. Decision logic is generated to direct each of a plurality of operational data units as input to one of the second learning algorithms based on states of the selected inputs of the operational data unit.

Career Highlights

Farooq Azam is currently employed at SAP SE, where he continues to work on advancing machine learning technologies. His expertise in developing algorithms has positioned him as a key player in the tech industry.

Collaborations

Farooq has collaborated with notable coworkers such as Bin Qin and Denis Malov, contributing to various projects that push the boundaries of machine learning.

Conclusion

Farooq Azam's innovative work in machine learning exemplifies the impact of dedicated inventors in technology. His patents reflect a commitment to enhancing algorithm efficiency and advancing the field.